Patentable/Patents/US-12174943
US-12174943

Utilizing machine-learning models to determine take-over scores and intelligently secure digital account features

PublishedDecember 24, 2024
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine-learning models to determine take-over scores and intelligently provide or limit access to account features. In particular, in one or more embodiments, the disclosed systems can train and utilize digital security machine-learning models to generate a take-over score indicating a likelihood that the request to access the secure digital account is unauthorized activity. Based on the determining that the take-over score satisfies a take-over threshold, the disclosed systems can allow access to the secure digital account by providing secure account information but prohibit access to a subset of account features.

Patent Claims
7 claims

Legal claims defining the scope of protection, as filed with the USPTO.

2

2. The computer-implemented method of claim 1, wherein utilizing the digital security machine-learning model to generate the take-over score comprises utilizing a gradient boosted decision tree to generate the take-over score from the one or more features associated with the request.

3

3. The computer-implemented method of claim 1, further comprising extracting the one or more features by extracting one or more of: a number of accounts accessed by the client device or a number of failed logins from an IP address.

4

4. The computer-implemented method of claim 1, further comprising displaying, via the client device, secure account information by displaying an account balance and one or more transactions.

13

13. The non-transitory computer-readable medium of claim 11, further comprising instructions that, when executed by the at least one processor, cause the computer system to provide the notification that the transfer feature or the virtual card feature is unavailable based on prohibiting access to the transfer feature.

14

14. The non-transitory computer-readable medium of claim 11, further comprising instructions that, when executed by the at least one processor, cause the computer system to, upon determining that the take-over score satisfies the take-over threshold, initiate an identification verification workflow via the client device.

16

16. The system of claim 15, further comprising instructions that, when executed by the at least one processor, cause the system to extract the one or more features by extracting one or more of: a number of accounts accessed by the client device or a number of failed logins from an IP address.

17

17. The system of claim 15, further comprising instructions that, when executed by the at least one processor, cause the system to display, via the client device, secure account information by displaying an account balance and one or more transactions.

Classification Codes (CPC)

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Patent Metadata

Filing Date

January 12, 2022

Publication Date

December 24, 2024

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Cite as: Patentable. “Utilizing machine-learning models to determine take-over scores and intelligently secure digital account features” (US-12174943). https://patentable.app/patents/US-12174943

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